{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('../../ProjectData/msft-orderbook.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>direct.bid1</th>\n",
       "      <th>direct.ask1</th>\n",
       "      <th>direct.bsize1</th>\n",
       "      <th>direct.asize1</th>\n",
       "      <th>direct.bnum1</th>\n",
       "      <th>direct.anum1</th>\n",
       "      <th>direct.bid2</th>\n",
       "      <th>direct.ask2</th>\n",
       "      <th>direct.bsize2</th>\n",
       "      <th>...</th>\n",
       "      <th>direct.anum10</th>\n",
       "      <th>direct.last_price</th>\n",
       "      <th>direct.vwap</th>\n",
       "      <th>direct.spread</th>\n",
       "      <th>direct.mid</th>\n",
       "      <th>direct.wmid</th>\n",
       "      <th>direct.volume</th>\n",
       "      <th>direct.notional</th>\n",
       "      <th>direct.last_size</th>\n",
       "      <th>direct.last_SRO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-04-13 09:30:00</td>\n",
       "      <td>65.29</td>\n",
       "      <td>65.32</td>\n",
       "      <td>53100</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>65.27</td>\n",
       "      <td>65.35</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>65.29</td>\n",
       "      <td>65.250597</td>\n",
       "      <td>0.03</td>\n",
       "      <td>65.305</td>\n",
       "      <td>65.319990</td>\n",
       "      <td>17805</td>\n",
       "      <td>1161786.88</td>\n",
       "      <td>500</td>\n",
       "      <td>INET</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-04-13 09:30:01</td>\n",
       "      <td>65.29</td>\n",
       "      <td>65.31</td>\n",
       "      <td>2412</td>\n",
       "      <td>505</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>65.27</td>\n",
       "      <td>65.32</td>\n",
       "      <td>715</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>65.29</td>\n",
       "      <td>65.283737</td>\n",
       "      <td>0.02</td>\n",
       "      <td>65.300</td>\n",
       "      <td>65.306538</td>\n",
       "      <td>98044</td>\n",
       "      <td>6400678.71</td>\n",
       "      <td>100</td>\n",
       "      <td>INET</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-04-13 09:30:02</td>\n",
       "      <td>65.23</td>\n",
       "      <td>65.25</td>\n",
       "      <td>2123</td>\n",
       "      <td>80</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>65.22</td>\n",
       "      <td>65.26</td>\n",
       "      <td>200</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>65.25</td>\n",
       "      <td>65.281739</td>\n",
       "      <td>0.02</td>\n",
       "      <td>65.240</td>\n",
       "      <td>65.249274</td>\n",
       "      <td>107198</td>\n",
       "      <td>6998071.81</td>\n",
       "      <td>5</td>\n",
       "      <td>BATS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-04-13 09:30:03</td>\n",
       "      <td>65.18</td>\n",
       "      <td>65.21</td>\n",
       "      <td>276</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>65.17</td>\n",
       "      <td>65.22</td>\n",
       "      <td>451</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>65.20</td>\n",
       "      <td>65.278454</td>\n",
       "      <td>0.03</td>\n",
       "      <td>65.195</td>\n",
       "      <td>65.202021</td>\n",
       "      <td>112623</td>\n",
       "      <td>7351855.35</td>\n",
       "      <td>100</td>\n",
       "      <td>EDGX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-04-13 09:30:04</td>\n",
       "      <td>65.16</td>\n",
       "      <td>65.18</td>\n",
       "      <td>272</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>65.15</td>\n",
       "      <td>65.19</td>\n",
       "      <td>1820</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>65.16</td>\n",
       "      <td>65.276766</td>\n",
       "      <td>0.02</td>\n",
       "      <td>65.170</td>\n",
       "      <td>65.174624</td>\n",
       "      <td>114829</td>\n",
       "      <td>7495665.82</td>\n",
       "      <td>28</td>\n",
       "      <td>INET</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 70 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              datetime  direct.bid1  direct.ask1  direct.bsize1  \\\n",
       "0  2017-04-13 09:30:00        65.29        65.32          53100   \n",
       "1  2017-04-13 09:30:01        65.29        65.31           2412   \n",
       "2  2017-04-13 09:30:02        65.23        65.25           2123   \n",
       "3  2017-04-13 09:30:03        65.18        65.21            276   \n",
       "4  2017-04-13 09:30:04        65.16        65.18            272   \n",
       "\n",
       "   direct.asize1  direct.bnum1  direct.anum1  direct.bid2  direct.ask2  \\\n",
       "0             17             7             1        65.27        65.35   \n",
       "1            505             4             2        65.27        65.32   \n",
       "2             80            17             1        65.22        65.26   \n",
       "3            100             3             1        65.17        65.22   \n",
       "4            100             3             1        65.15        65.19   \n",
       "\n",
       "   direct.bsize2       ...         direct.anum10  direct.last_price  \\\n",
       "0              2       ...                     3              65.29   \n",
       "1            715       ...                     2              65.29   \n",
       "2            200       ...                     2              65.25   \n",
       "3            451       ...                     5              65.20   \n",
       "4           1820       ...                     2              65.16   \n",
       "\n",
       "   direct.vwap  direct.spread  direct.mid  direct.wmid  direct.volume  \\\n",
       "0    65.250597           0.03      65.305    65.319990          17805   \n",
       "1    65.283737           0.02      65.300    65.306538          98044   \n",
       "2    65.281739           0.02      65.240    65.249274         107198   \n",
       "3    65.278454           0.03      65.195    65.202021         112623   \n",
       "4    65.276766           0.02      65.170    65.174624         114829   \n",
       "\n",
       "   direct.notional  direct.last_size  direct.last_SRO  \n",
       "0       1161786.88               500             INET  \n",
       "1       6400678.71               100             INET  \n",
       "2       6998071.81                 5             BATS  \n",
       "3       7351855.35               100             EDGX  \n",
       "4       7495665.82                28             INET  \n",
       "\n",
       "[5 rows x 70 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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tB6t8fGVLnV4fIoFiVe3NL+QXbyzmDx+t4pRHZtH7dx9TXm58V0jKI64Cf2AN\nvl8H5/z6ob4QlKpNZeWmxqnB7Z3EpWXlvPD1Zr/HmzZM9S0AD/DWjSN468YRADUaQ2//z5r097lk\n5kwPGkkUTkolla2ycuP7UquJLQ4TOGet3sOghz6t8XPHk7iLgPb/K3uAP6FtRapcjfuqrq3YcZie\n98zg12/XLFf/9oMVgW3/sWJ62T7XFw7pzMDOzRjarYVv2/AerehkDWYoqsGERacK+23/Xuz6+A0h\nVi0b3LW57/bRCIz4ufi5eY7ntk/W1CR6cRb4BTC2xp4y27fAxbZONx1SpuraeVZn5nshBhy49YOt\nmWX4o5+zfu9RMltlkDtlIlMvGYiIMOUn/f2OSU/1XCUU1qDG7zRCrirt8lMcRhkBvHLNMN/tixyC\ndiQ8PnOt332njm+v4tJyLnluHou2HKiVssSKuAr84F/jn75sFwAf3T6anwypCPw7Dx2v62KpBPL4\nRQMA6NKyYdj9vt2wj8yc6azfk+/qeY0xfs04XoFzBHq1a8JfJw/m3VtGWo97/s1rUuMPlQPrq3V5\nVXqe+8470Xf7lWtOoVnDinkFWwM6jrcdKOC9HyK/jOXxMO39ufuPsSD3ADnvLo/4eWNJ3AV+JynJ\n4nclMK5v2yiWRsW7S7K6kDtlIl//dlzY/S6fNh+Axz9ZG3Y/r5Iy5yaKtQ5fHOcN6MjQbi2Bihr/\nmt3uvmCcTLbKGujKlxa4On5Y95YM696S60Z3923rZnU2j+zRyrettKziy+m0x2dz59tLXVfUSmzH\nvn79cFY+OMHvce/8nZU7j7h6vngWX4Ff/McLe6UkCQ2SK2pFzTPS6rJUKoG1a9ogaNvcDf6dom7z\n1Uz91PkLwl5rdpKa7Pk3f7eatedZEZiHsGDzAdYGfPF4O3zPG9jBt6203PDM5+v91tEYNeULV+ew\np8Ie3r0ljQKGr04c4DnPTf8MPYIoUZbljq/Aj/Mfbm9+Ec0yojNVXSW2+fecSe6UiX7bJk+b7xfY\nGqYFp3MoLSvnsRmr2WdL8vaPEDOAl95/doRK68w+1NJpqOi/vnOXETewbd3bYTx5WFfftr73zeTJ\nz9YRKDNnOiVl5byzaHvIzln7kpcp1pfdtzmeq65HJp3MxUO7AOFnEXvF+0SvuAr8gnON37tpePeW\njO2jaRpUbCkLaMLZdfg4Hy7dyT++2sRd/6kYBdQ03VODvTe7n2/bcz8b6uocw7u3ZHj3ljUu6y/G\n9wra9rv/rqj0uBYZqVwxohtQ0ffRKM3zekSE5i4qZje+tpC7/rOU/y5x7iD3luPy4RVfJJ2aNyR3\nykQuH97NN7LvvAEdHI+HiqtHk/i9AAAVfUlEQVSB0jgf+RNXgR/8J3B5eS/53rppJC/bRhEoVVe8\nQc/JzJX+HbYjH/uCO61hn1+ureg87dGmMWN6t+GGMT18TUhnn9jO1fn3HClk/uYD9P7dx1Utup/2\nTdOrfExJWTkHC0p88wjm3DWWJb8/ixaNKppc+7avmHPTqblzp7i3bf7I8RJGPPo5mTnT/foEFmz2\njMQZ0LlZ2PJ8ZA36cJJbhYWc6rP4C/wOkb9/p/AfBKVq2x8uOLnax67fk8+KHYfZvO8YDVM9/7Lv\n3DyK568Y6nrNaG9As6cwqA5vf8KPBnZk7cPnuDpmx0FP5+yeI55mq6QkCepn+25TxfDJHSE6c/da\nbfhpKcnstvIOHSioGFI6aXAnAC6wfoeTXxh6SGfF+QrJzJlOn999zOZ9x8IOA61v4irwi4jjzEjN\n0KBi1aierciyTbhyctZTX3HeX77h8PESXwdml5YZnH2Sc2qG2nL1qExEhNwpE/nLZYP9hpEeLijh\nzQVbycyZ7puB+8aCrazaeYQzrPw41Wk8+ccVwU1ZB23Bfu+Rij6Q9605Em5SYLsJ4o9Yaa2LSssZ\n+8SXnPXknEqPCee5ORvJzJkeE6uQxVXgB+c2fk3GpmJVcpI4fmZD6d3OOQ1JZTY/ll2t4+xuH3dC\nyMcGPvQpOe95xr6/94MnAN/93nKyn/nat8+AMFfefUK8rhHdWwVt+5Nt+Kv3i7CqwdSY4EWbjgRc\nBXwQkMZ6b37NVlP72+wNABQWR3/J1zgM/NEugVLuiQj2vt2ZK4InaNnlnNu32ue5YkQ3WlRjdFun\n5g05sUNTWjUOHppaFXdN6BPysfdvHcXALs39tm16NJtmGalseOTckMftsZp83l3kbkb0n386CPDM\nEeh+9wxW2LKE1rQZLJzHPl4dUxkD4irwi/hPAFEqljQJGFf+8tWnkCQVNc/l2w9zcyX57gPHpldF\nanISpSEmgTl56ZvNPPHJWppnpNKhmXOn7ke3jw7a1rlFQw4VVC3NckZaCo9fOMBvm7f/wjs004m3\n32CjlQvIG9hDCczMe55tXQDvMNFQVx9eS7YdqnKyvX/MqRiKu3p39CeQxdXSiwBV+FwrVac+u/N0\ndh0+zvGSMia/MJ+hmS14dV6uL5XCku0VufUvGNTRt2JWVrcWLNziydGTGiYIViY1WSh2qBhtzDvK\n+Kme9mvvnIM56/J46KNVgGfETahO5JMdmm+ufvn7apWvj21kz/s/H+X3WHKSOE50e2rWOk7s2NSX\npnpoJf0lTs1qm/KOsudIke+xgV2aOc6GBhjyh884cKyYJy8Z6JcGJpzAL4lQo5bqkqvALyLNgWnA\nyXj6aK4FJgA3AN7xZvcYY2YEHNcFeA1oD5QDzxtjno5M0R3KiWbeU7GrfbN02ls1Z2+AtQ/XvM82\nHv6/S3ay5g/nUFRaTkZaMr3u/dhvyGN1pCRL0Ph0Y4wv6AMcPFZMi0ZpXGVLxbBmd36N+8kau7xS\n2fxYNtsPHqdLywy/7RseORdj4OsN+/zKBnCDbYJZy0bhZ+V/uyE4lfS4qf6dtgXFFf0FKx+cwEn3\nf+K7701Md+fbS10H/sD33O1IrNrktvrwNDDTGNMXGAh4V3F+yhgzyPqZ4XBcKfBrY0w/YARwq4ic\n6LBfxFSlo0ypWBHYRPnjgR1JT02mWcNUUpOTeOnqLF67rmZzUFKTkygrN36Vo8te+M5vn8AOTq9w\nFxoXugiAb1prAlRGRIKCvnd7UpKEHY0zLDM4TUOgFmHStXibgYbZJro1apBC7pSJdG8dvIiN2/UD\n3KbkqEuVBn4RaQqMAV4EMMYUG2NcLZBpjNlljPnBup2P5wuj8kG2NRCLb7JSofzfOZ7O2pIy40uH\ncE92X565bLDffuP6tqNtk6pPnrLzNhOVlHu+ZPILS/zGzwPM3bjf8dhhmcGja7ymXjKQ3CkT+eb/\nxobcp22TmnUMe3mbTX48sGPQY/bMn6E0sWY/X29LFufljR2X2VJIeDmlcKisI94rFmcBu6nx98DT\nnPOyiCwWkWki4v36u01ElonISyIStnFNRDKBwYBzmr8IEKna0Dilom1vvmdUyro9+cxYvpvmGanc\nOKZnrZzLmxTtfWu45dCHZwXtc/d7yx2bS+05g0Lp3CK4pu7VtJJEcm55+wEmnNSeK0f6z4bu0aby\npSW9QTjDIT+SV0qS8PvzTmT6Lyo6rp2e221AD6yM1nQVtkhwE/hTgCHAs8aYwcAxIAd4FugJDAJ2\nAVNDPYGINAbeBX5pjHHs0haRG0VkoYgszMurWo5vO63xq/rk5W9zATj/b98CcKig9maHemv8Oe8t\n5+CxYr/hi6f1au27PW7qlwCce3LFBLGv1rv7n1xwz3gm9u/A5seyeXRSxYIw3tTQNdW3fVNWP3QO\nEwd0COo3aOjiHJOHd2Votxb8bGQ3Xro6i58M7hTUkSwiXDu6Oyd1rOi4/vzO04MWuAnMNhpKLMYk\nN4F/O7DdGOOtqb8DDDHG7DHGlBljyoEXAMcGSBFJxRP0XzfGvBfqJMaY540xWcaYrDZtqpdITQge\n1dOqks4epaLp1rG1U7t3kppc0alYELAYyf0/Osl325veYUjXiov4Ry7wD3qhtG2azt8uH4KIOC7X\nGAnebKafr97rt91Np2nbJum8e8so2jZJZ1zfdjz500GOfQqBRIRLh3WlU/OG3DbWM5HNO5KoMqXl\nsTfEvNLAb4zZDWwTEe/si/HAKhGxp7ibBASl6BPPUIAXgdXGmCcjUN6w9h8rDloR6K2bRtb2aZWq\ntqxu/hkzp148sNbONWddxYiWAlsK48X3ncUJbRvTJqAd3v5FUVniMyfeBY9eu7Z2EiPeeXZv3+3A\n1NdVYR8iO3l4cPu+3bc543wT0ezLuYbz9Tr3i9LXFbfj+G8HXheRNGATcA3wjIgMwjO8Mxe4CUBE\nOgLTjDHZwKnAFcByEVliPVfQsM/a5JTrXKlYEfj5rE6AdWvW6ooFVbxj9AFflszv7z3Tb52ANFvO\nm+rMH2jXNL1GAbkyE05qzw/3nVXj57F/wZ3Zz93qfN1aZfit+BXOX61UDV72dQOixVXgN8YsAbIC\nNl8RYt+dQLZ1+xs8LTBRkxIDY2aVCmVED//RMt6c8bXt6/WeWmhgLd8uxRYQ7cExllQ2bt+NlKSK\nL7Vebd3Nldiyv4At+wt48pJBlTYxBY4I+vf8rTx0fvWztUZCXKVscBI4RVupWDP6BE/H6oST2tVq\nQsGfjQhuxph/93i/+/Yauj23TLi0CfWd/UvNTXu/XWBfiZPATuhYSO8cd3/N1gGJpJI0M6eKcd6P\naG1XUlo6TF5yqq3OunMMp/duw+RhXbnhNM94d+/qX/GoJl+2gaunOfm/c/yT0wVm/YyGuAr8HZul\nBy1unRKjl6hKeXmbXWYsdzchqLqOu6idApzQtgmvXjuMhmnJ3DvxRHKnTNTU5iGUuBix8/mavZXu\nU9fiKvCLBCdyapqui6wrBZ4MmCoyTu/tGXLuZoy+PR9TrIirwA+aq0epUK47zT9NgQ58qL6J/T2j\n2StLo2139ajMWipN1cVd4Pd+A//8jJ78+4bhUS6NUrHDfvX70tVZzL7rjOgVpp576VvP5K3FW12l\nLQPg3on9fLdfn78l4mWqiri69hOpWIFreI9WjOrZOvwBSiWYP17Yn7SUJMb1bRftotRra1yma7Cz\nz4W49/0VXD68W5i9a1fc1vj1KlbVF9c5ZIqsLT89pSuTBrubcariV1wFfhF74NfIr+oHN+mEVWz5\nzjb/oarLTMaC+Ar8VKRl1sCv6pMpP+nPjF+cFu1iKJfaN0tnpDXretBDn4Xdd0DnZr75RW4yiNaF\nuAr8oE09qn66dFhXTuzYNNrFSFhv3DCCD249tUrHjO1bkUV4rsOSjl7pqcn0tPL5f3Bb1c5RW+Iq\n8Hs6d63Ar5FfKeXSyJ6tGNileZWOSbbl+Jk8LfT6UuXlxjeRtJctF5Mxhk9W7nad7C2S4irwg7bx\nK6XqxtFC/yyb6/Y4j/QpLTe+eGSfAf3cnE3c9M9FPPvlxtorZAhxFfgFbepRStWNwlL/FBhnP/WV\n437lxvhNlmvVKI2MtGT+OHMNAAs2H3A8rjbFV+AXoaRMa/xKqdoXmCTgF+N7Oe5XWmb8EvCd1qu1\nXzLJb8L0D9SWuAr8UJGIatfhwiiXRCkVz7zptL3ahljboNz4B/6DBSVsPVBQq2WrTFwFfnsdv9Bl\nJkKllKqO0b1ac292RRoGp4RthwtKKC33D/xz1kU/aVtcpWywR/6xfd0toaaUUtXVtGFFCL3/w5Xc\n/+FKXr76FK555Xu//fp1CD9Ut7CkjPQ6HOMfVzV+u1iZKKGUil/Lth8O2hYY9AFKKxmyuWJH8PPU\nprgK/JvyKta2jNU1QpVS8cMec8LZWUmf40XPzYtEcVyLq8BvpysGKaVq27xN+13tt3Sb+/TNdSFu\nA79SStW2t28aGbHnMnW4iJQGfqWUqqZh3Vuy8sEJIR9/dFJ/wJNOxuuBHzlnYy0qrbvUDRr4lVKq\nBho1cB4ceW92PyYN7sSFQzqz5L6zfdvH93NeBKcuZ/Bq4FdKqRpqkBIcSvcdK6JhWjJTLxlIs4yK\nZS+7tMzg6UsHBe1/5UsLarWMdhr4lVKqhpxa5yec1D7k/oO7tABCp3mobRr4lVKqht65eSQTB3Tw\n25aeEnouUddWGeROmcidZ/XmhSuzALjzrN61WkY7DfxKKVVDAzo35/ZxJ/htS3IZXYd09awD0Kxh\naiV7Ro4GfqWUioDAjMCN0txlxPHOOSrX4Zw10yQ9vlIQKaViX/fWjfzuu41D3vH7j85YHfEyhRKX\ngb9d0/RoF0EplWBSkyvC6We/GkPzjDRXx5VaWT1LygwFxaWV7B0ZcRn46/KSSSmlvH43sR8f3T6a\nXu2auD7Gns559pq6Sdkcl20i+/KLol0EpVQCuv60HlU+pkOzihaKsjqqtMZljb9lI3eXWEopFW32\nhJJ/n72hTs4Zl4HfYSEcpZSKeWt259fJeeIy8DstgaaUUsrDVeAXkeYi8o6IrBGR1SIyUkQeEJEd\nIrLE+skOcew5IrJWRDaISE5ki+9MO3eVUio0tzX+p4GZxpi+wEDAO+D0KWPMIOtnRuBBIpIM/A04\nFzgRuExEnHOSRpDGfaVUffK/20bX6fkqDfwi0hQYA7wIYIwpNsa4XU5mGLDBGLPJGFMMvAmcX93C\nutW+mY7jV0rVHyd1DL8Ye6S5qfH3APKAl0VksYhMExHvFLXbRGSZiLwkIi0cju0EbLPd325tCyIi\nN4rIQhFZmJdXvbGs3pwXv53Qp1rHK6VUNCQl1e1SsW4CfwowBHjWGDMYOAbkAM8CPYFBwC5gqsOx\nTq/GsSHGGPO8MSbLGJPVpk0bN2UPPpk1LCrNITe2UkopDzcRcjuw3Rgz37r/DjDEGLPHGFNmjCkH\nXsDTrON0bBfb/c7AzpoUWCmlVM1UGviNMbuBbSLibT8ZD6wSEXvy6UnACofDvwd6iUh3EUkDLgU+\nrGGZQzrPyofduUVGbZ1CKaXqPbcpG24HXreC9ybgGuAZERmEp+kmF7gJQEQ6AtOMMdnGmFIRuQ34\nBEgGXjLGrIzwa/C5elQmlw3rSnpq6AUQlFIqFk0a3ImFW+pm3V1Xgd8YswTICth8RYh9dwLZtvsz\ngKChnrVBRDToK6XqpSQRysvr6Fx1cxqllFLhrNx5mB2HjtfJuTTwK6VUDKirPD0Qp2mZlVKqvnn3\nlpGs33O0Ts6lgV8ppWLA0G4tGdqtZZ2cS5t6lFIqwWjgV0qpBKOBXymlEowGfqWUSjAa+JVSKsFo\n4FdKqQSjgV8ppRKMBn6llEowYmJwgVoRyQO2VPPw1sC+CBanPtL3QN8D0PcAEus96GaMcbWKVUwG\n/poQkYXGmMBMoglF3wN9D0DfA9D3IBRt6lFKqQSjgV8ppRJMPAb+56NdgBig74G+B6DvAeh74Cju\n2viVUkqFF481fqWUUmHETeAXkXNEZK2IbBCRnGiXJ9JEJFdElovIEhFZaG1rKSKfich663cLa7uI\nyDPWe7FMRIbYnucqa//1InJVtF6PGyLykojsFZEVtm0Re80iMtR6TzdYx0rdvsLKhXgPHhCRHdZn\nYYmIZNseu9t6PWtFZIJtu+P/h4h0F5H51nvzloik1d2rc0dEuojIbBFZLSIrReQOa3tCfRYiyhhT\n73+AZGAj0ANIA5YCJ0a7XBF+jblA64BtjwM51u0c4I/W7WzgY0CAEcB8a3tLYJP1u4V1u0W0X1uY\n1zwGGAKsqI3XDCwARlrHfAycG+3X7PI9eAC4y2HfE63PfgOgu/U/kRzu/wN4G7jUuv0ccEu0X7PD\n6+oADLFuNwHWWa81oT4LkfyJlxr/MGCDMWaTMaYYeBM4P8plqgvnA69at18FLrBtf814fAc0F5EO\nwATgM2PMAWPMQeAz4Jy6LrRbxpivgAMBmyPymq3Hmhpj5hnPf/5rtueKGSHeg1DOB940xhQZYzYD\nG/D8bzj+f1i12nHAO9bx9vczZhhjdhljfrBu5wOrgU4k2GchkuIl8HcCttnub7e2xRMDfCoii0Tk\nRmtbO2PMLvD8cwBtre2h3o94eJ8i9Zo7WbcDt9cXt1nNGC95mzio+nvQCjhkjCkN2B6zRCQTGAzM\nRz8L1RYvgd+pPS7ehiudaowZApwL3CoiY8LsG+r9iOf3qaqvuT6/F88CPYFBwC5gqrU9rt8DEWkM\nvAv80hhzJNyuDtvi5n2IhHgJ/NuBLrb7nYGdUSpLrTDG7LR+7wXex3P5vse6TMX6vdfaPdT7EQ/v\nU6Re83brduD2mGeM2WOMKTPGlAMv4PksQNXfg314mkFSArbHHBFJxRP0XzfGvGdtTvjPQnXFS+D/\nHuhljVBIAy4FPoxymSJGRBqJSBPvbeBsYAWe1+gdmXAV8IF1+0PgSmt0wwjgsHUp/Alwtoi0sJoH\nzra21ScRec3WY/kiMsJq677S9lwxzRvsLJPwfBbA8x5cKiINRKQ70AtPp6Xj/4fVnj0buMg63v5+\nxgzr7/MisNoY86TtoYT/LFRbtHuXI/WDpyd/HZ7RC/dGuzwRfm098IzEWAqs9L4+PG20nwPrrd8t\nre0C/M16L5YDWbbnuhZPp98G4Jpov7ZKXvcbeJoySvDUyq6L5GsGsvAEzY3AX7EmNMbST4j34J/W\na1yGJ8h1sO1/r/V61mIbmRLq/8P6bC2w3pv/AA2i/Zod3oPReJpelgFLrJ/sRPssRPJHZ+4qpVSC\niZemHqWUUi5p4FdKqQSjgV8ppRKMBn6llEowGviVUirBaOBXSqkEo4FfKaUSjAZ+pZRKMP8P4Otv\ngA6gwkoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(len(data)), data['direct.wmid'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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uIlElYsK9tdXxbE4hD755gKMn67k5O4P///lJmrJXRKJSRIT7qYZm7luzi+c3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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(len(data)), data['direct.volume'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iFZgipTz3O47tsU5ab2XYDW+xc+dQPs3zkmhGcWWvu5lT8i7ltc8CfwXgU/fX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\nxYjEHwRBUDEi8QdBEFSMt0hpxmNp9F0FAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(1,11):\n",
    "    plt.plot(range(len(data)), data['direct.bid{}'.format(i)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x136407c88>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " plt.plot(range(len(data)), data['direct.bid1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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GuAJYIiK+iawh0z6jRSS0j39AFJaqK9VYgrsnTjk68jQMdWVfWGWf\nOnrXud6tGl/95SjOeeoblm7z9sam2Vr59Ulu2C4ngxm3nljP2tbOPu7w2CVD6v049jUKF48Ibf3b\nnTnA297t2z6bNTsi2yBm+77ANQ2H67j4qzFEFPiNMQuBEUHFV4Q5thCYYN3+Fm8PTJMJDvyRfkVV\nKhZ6Bu2eNdJh9ki0+BY5gTdvDIQuCLt4RFeWblsGBLb4I80C2tTuPKd/g3Pf2FvuY3q3ieickkMV\n5LePbNzi1v8sCrj/6g+buPc85+0mm0p8/m/Wk9PKXXccLJZQKpycjFR/F8tJ/fIblFOnNvYUz1Os\nQcr3g7KGXnl8gX8rR/tip8YcdG6IX47twbXje0bt8SKdfdQ6K43v1ka27WRwC39jmP0GmlJ8/m82\nQHCLXyf5qHjnC8huV+P+OTqlLG+THTrv/SQr62f3Npn89sRetM5KC5nimOx822WWRrDt5LBugTPd\n7Vk/YyWh/jedWvzxsEpOqZpUN1Ya973q9N3XaX7+Hef0Z/JZR5HidjGyoDW3nt6vwWsIElUk3UxH\ndcjlfQrJSU8JyCwaSwnV4ndawNWiDtkIlYqFb9d6W4Cfr9hZy5ENU5dZL/ZjNeiHV9NeCj4PfbwS\ngOyM+GlnJ1bgl9B5/NFaMahUc5eiATxq7jjbuzdBXdIxNCSzarQlVOCH+Jwzq1Q8cOrPV/Xj2xpz\n9IMzIj7HvhfwmDqc1xji57tHFNj33L19wtGM6d225hOUSiKXjezGG7M2c+PJvWmfm1FrQjMV3uoI\n5/DbPXzhID60NnfZVnI42lWqk8QK/CJ4rOXRR3XMoX+n3FrOUCp5uFzC1JvG1X6gqlVt6Z+dxNN4\nY0J19QjV0zddOn9fNROv/XJUrKug6uhXJ1SvHWiOiSETKvBDdR+/xn3VXIzto12SzY09BfUf315U\nw5GBOke4GXxjS6zAL9XzarXFr5qTIV3zuHfiMbGuRtK68vju/O7U8Ju61+Td+TXvk2x3T5z8HydU\n4BeqW/wa+FVz8t/rx3DF8QWxrkbSumfiAH53at32CX7ysqH+26/P2hT2uPF9q1M8B2f/nL1hT0y6\nihIr8Nuyc+qUZaVUYyo5VL1t5e3vLaVon/NMHWMMvlyR9p3V5m7cw8X//IGnZqxp1Ho6SajAD7au\nHo38SqlGZN/IBuBgmXO6ZY8xAT0Qpx7djoI2mWwv9aZrXlbouClho0qowK9dPUqpprLvcGCCtgVh\n9uD1eALjUYu0FESEG95YAMBny3c0XiXDSKzAL9X7W2qDXynVmIL3KAjXV+8xJmCWoXeL2OpjfRvA\nN6XEWsCFUF6H3BlKKVVfLVsE5gGrCBP4Z20I3Jv3A2v1rs+O0rLoViwCCdXit2vRiBtaKKXUL0YX\nBNyvbECjs6G7iNVVYrX4bV+nWmZqVk6lVONJdbu497wB3PnfpQC8Pmszr/6wiUtGdiUj1c1dHyyL\n+LH2HCqvVxqI+kqowG/XmFvYKaUUwIwV1QOza3ceAOCB6Svr/Djb9x1p0sCfUF099jmyqY28jZ1S\nSqVGuLlNn3bZNf6+qefyJ2x0THHrtB6lVOO6bFS3iI4LnvMf7JNlO5p0m9iECvwHbftZ6m5DSqnG\ndlK/dqy/fwIZqaGh9NpxPZhmpcG2zzYMl5OpKfeQSqjAv3nPIf9t0QVcSqkm4HIJ4rCVfUWVoZ01\nR9+eo6dv+xzHx6nwNN1U9IQK/EopFQtO21p2b5NJ2+x0ZtxyAn85b4C/fFTPNtxru+9zKEzKh8ag\ngV8ppRqoR9uskLLsdO+kyZ752SGzDJ0GexdtLWmcyjnQwK+UUg3098uGcf/5AwPK2uVmhDkaji1o\nzRXHdeez34/n4YsGAXCgrOYB4GhK2Hn8SinVVFpmpnJCv/yAsjZZ4Tezd7nE393jtiaiVFbprB6l\nlGpWjlQE9tH7unpq41sLUNGEecY08CulVBQEp4JPd5ji6cS35mhF0f6o1ykcDfxKKRUFnfKq+/R7\n5mdFnIIhxcoy8MJ3GxqlXo7P2WTP1IR6OoywK6VUY0pPqZ65M+OWEyM+zx2DxaYJ2eJfv+tgrKug\nlEpSZw/qWKfjM9OqPzBmri6OdnUcJWSLXymlYmHtfWfVuQVvn+O/cddBTuibX8PR0ZGQLX6llIqF\nFLerQeli6pLDvyEiCvwikicib4vIShFZISLHi8jdIrJNRBZaPxPCnHumiKwSkbUiMjm61VdKKVVX\nkbb4nwA+NsYcBQwGVljljxtjhlg/04JPEhE38A/gLKA/cJmI9I9CvZVSStVTrYFfRHKB8cDzAMaY\ncmNMpEkljgXWGmPWG2PKgbeAifWtbKRq2/RAKaXiyY0n927S54ukxd8TKAZeFJEFIjJFRHzzJW8Q\nkcUi8oKItHI4tzOwxXZ/q1XWqJp222KllGqYq4I2bm9skQT+FGAY8LQxZihwEJgMPA30AoYARcCj\nDuc6jXI4xmURuU5E5orI3OLi+k1pKmiTCcBtZx1Vr/OVUioW8jLD5/VpDJEE/q3AVmPMLOv+28Aw\nY8wOY0yVMcYDPIe3W8fp3K62+12AQqcnMcY8a4wZYYwZkZ9fv+lMmWne2anta8iKp5RS8aapF3HV\nGviNMduBLSLSzyo6BVguIvZVCucDSx1OnwP0EZEeIpIGXAp80MA6h+W7eFUe7exRSqlwIl3AdSPw\nuhW81wOTgCdFZAjerpuNwK8ARKQTMMUYM8EYUykiNwCfAG7gBWNMo01UdfkCf1NuXqmUUs1MRIHf\nGLMQGBFUfEWYYwuBCbb704CQqZ6N4ZSj2rFoSwntciJLjqSUUskooVI23HBSby4d2bXGnW+UUioe\nje7Vhi17DzXJcyVUygaXSzToK6WapfycdNwNSPdQFwkV+JVSqrlyu4TKJpqYooFfKaXiQIpL2Lr3\ncNM8V5M8i1JKqRpdMKxLk83n18CvlFJx4LiebTiuZ5smeS7t6lFKqSSjgV8ppZKMBn6llEoyGviV\nUirJaOBXSqkko4FfKaWSjAZ+pZRKMhr4lVIqyYiJw9z1IlIMbKrn6W2BXVGsTnOk10CvAeg1gOS6\nBt2NMRFtXxiXgb8hRGSuMSZ474CkotdArwHoNQC9BuFoV49SSiUZDfxKKZVkEjHwPxvrCsQBvQZ6\nDUCvAeg1cJRwffxKKaVqlogtfqWUUjVImMAvImeKyCoRWSsik2Ndn2gTkY0iskREForIXKustYh8\nJiJrrH9bWeUiIk9a12KxiAyzPc4vrOPXiMgvYvV6IiEiL4jIThFZaiuL2msWkeHWNV1rnds0u2DU\nQZhrcLeIbLPeCwtFZILtd7dZr2eViJxhK3f8+xCRHiIyy7o2/xKRtKZ7dZERka4i8qWIrBCRZSJy\ns1WeVO+FqDLGNPsfwA2sA3oCacAioH+s6xXl17gRaBtU9jAw2bo9GXjIuj0BmA4IcBwwyypvDay3\n/m1l3W4V69dWw2seDwwDljbGawZmA8db50wHzor1a47wGtwN3OpwbH/rvZ8O9LD+Jtw1/X0A/wYu\ntW4/A/wm1q/Z4XV1BIZZt3OA1dZrTar3QjR/EqXFfyyw1hiz3hhTDrwFTIxxnZrCROBl6/bLwHm2\n8leM149Anoh0BM4APjPG7DHG7AU+A85s6kpHyhjzNbAnqDgqr9n6Xa4x5gfj/ct/xfZYcSPMNQhn\nIvCWMabMGLMBWIv3b8Px78Nq1Z4MvG2db7+eccMYU2SMmW/d3g+sADqTZO+FaEqUwN8Z2GK7v9Uq\nSyQG+FRE5onIdVZZe2NMEXj/OIB2Vnm465EI1ylar7mzdTu4vLm4werGeMHXxUHdr0EboMQYUxlU\nHrdEpAAYCsxC3wv1liiB36k/LtGmK40xxgwDzgKuF5HxNRwb7nok8nWq62tuztfiaaAXMAQoAh61\nyhP6GohINvAO8DtjTGlNhzqUJcx1iIZECfxbga62+12AwhjVpVEYYwqtf3cC7+H9+r7D+pqK9e9O\n6/Bw1yMRrlO0XvNW63ZwedwzxuwwxlQZYzzAc3jfC1D3a7ALbzdISlB53BGRVLxB/3VjzLtWcdK/\nF+orUQL/HKCPNUMhDbgU+CDGdYoaEckSkRzfbeB0YCne1+ibmfAL4H3r9gfAldbshuOAfdZX4U+A\n00WkldU9cLpV1pxE5TVbv9svIsdZfd1X2h4rrvmCneV8vO8F8F6DS0UkXUR6AH3wDlo6/n1Y/dlf\nAhdZ59uvZ9yw/n+eB1YYYx6z/Srp3wv1FuvR5Wj94B3JX4139sLtsa5PlF9bT7wzMRYBy3yvD28f\n7RfAGuvf1la5AP+wrsUSYITtsa7GO+i3FpgU69dWy+t+E29XRgXeVtkvo/magRF4g+Y64O9YCxrj\n6SfMNXjVeo2L8Qa5jrbjb7dezypsM1PC/X1Y763Z1rX5D5Ae69fscA3G4u16WQwstH4mJNt7IZo/\nunJXKaWSTKJ09SillIqQBn6llEoyGviVUirJaOBXSqkko4FfKaWSjAZ+pZRKMhr4lVIqyWjgV0qp\nJPP/AeNjM6xHir+vAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
